Next Article in Journal
Design, Fabrication and Testing of a High-Sensitive Fibre Sensor for Tip Clearance Measurements
Next Article in Special Issue
Green Compressive Sampling Reconstruction in IoT Networks
Previous Article in Journal
Surface-Plasmon-Resonance-Based Optical Fiber Curvature Sensor with Temperature Compensation by Means of Dual Modulation Method
Previous Article in Special Issue
Energy-Aware Control of Error Correction Rate for Solar-Powered Wireless Sensor Networks
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(8), 2609;

Energy-Aware Control of Data Compression and Sensing Rate for Wireless Rechargeable Sensor Networks

Department of Smart Systems Software, Soongsil University, Seoul 06978, Korea
Department of Software Convergence, Soongsil University, Seoul 06978, Korea
Author to whom correspondence should be addressed.
Received: 9 July 2018 / Revised: 7 August 2018 / Accepted: 8 August 2018 / Published: 9 August 2018
(This article belongs to the Special Issue Green Communications and Networking for IoT)
Full-Text   |   PDF [718 KB, uploaded 9 August 2018]   |  


Wireless rechargeable sensor nodes can collect additional data, which leads to an increase in the precision of data analysis, when enough harvested energy is acquired. However, because such nodes increase the amount of sensory data, some nodes (especially near the sink) may blackout because more transmitted data can make relaying nodes expend more energy. In this paper, we propose an energy-aware control scheme of data compression and sensing rate to maximize the amount of data collected at the sink, while minimizing the blackout time. In this scheme, each dominant node determines the data quota that all its descendant nodes can transmit during the next period, which operates with an efficient energy allocation scheme. Then, the node receiving the quota selects an appropriate data compression algorithm and sensing rate according to both its quota and allocated energy during the next period, so as not to exhaust the energy of nodes near the sink. Experimental results verify that the proposed scheme collects more data than other schemes, while suppressing the blackout of nodes. We also found that it adapts better to changes in node density and harvesting environments. View Full-Text
Keywords: wireless sensor networks; rechargeable; compression; sensing rate control wireless sensor networks; rechargeable; compression; sensing rate control

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Yoon, I.; Noh, D.K. Energy-Aware Control of Data Compression and Sensing Rate for Wireless Rechargeable Sensor Networks. Sensors 2018, 18, 2609.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top